IOT Certification Exam

IOT Certification Exam

Exam Cost: USD 30.00

Benefits of LoopSkill Certification

You will become Internationally Certified IoT Professional.

Backed by 5000+ Companies this Certification will provide you Great Job Opportunities.

Worldwide Average salary of a IOT Professional is around $70,000 per annum.

Exam Cost: USD 30.00

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What Is IOT?

The Internet of Things refers to physical objects (or groups of such objects) that are equipped with sensors, computing power, software, and other technologies, and that communicate with other devices and systems over the Internet or other communication networks.

Because of the confluence of numerous technologies, such as ubiquitous computing, commodity sensors, increasingly powerful embedded systems, and machine learning, the field has progressed. The Internet of Things is enabled by traditional domains such as embedded systems, wireless sensor networks, control systems, and automation, both individually and jointly. In the consumer market, IoT technology is most closely connected with items that support the concept of the "smart home," such as devices and appliances that support one or more common ecosystems and can be managed by ecosystem-related devices such as smartphones and smart speakers. The Internet of Things can also be used in healthcare.

There are several concerns about the risks associated with the growth of IoT technologies and products, particularly in the areas of privacy and security, and as a result, industry and government efforts to address these concerns have begun, including the creation of international and local standards, guidelines, and regulatory frameworks.

The term "Internet of Things" was first used in a speech given by Peter T. Lewis at the Congressional Black Caucus Foundation's 15th Annual Legislative Weekend in Washington, D.C. in September 1985. "The Internet of Things, or IoT," according to Lewis, "is the integration of people, processes, and technology with connectable devices and sensors to enable remote monitoring, status, manipulation, and evaluation of such devices' trends."


Salary Range of An IOT Professional

Depending on the experience level and the demographic area, the salary of a IOT Professional varies widely.

The following is the average IOT Professional Salary in USA:

Best Minds In IOT$100,000
Senior IOT Professionals$ 85,000
Intermediate IOT Professionals$ 65,000
IOT Freshers$ 50,000


The following is the average IOT Professional Salary in India:

Best Minds In IOTINR 120,000
Senior IOT ProfessionalsINR 90,000
Intermediate IOT ProfessionalsINR 70,000
IOT FreshersINR 50,000


What Is IOT Certification?

IOT Certification assesses a person's knowledge of internet of thing as well as their understanding of digital concepts. A variety of certifying authorities, ranging from government agencies to commercial enterprises and organisations, offer the IOT certification. Certifications are normally obtained by the completion of an online or offline exam.

All certificates have their own set of benefits, such as international recognition, career opportunities, freelancing, and so on. So, IOT certification is an online exam that evaluates a Professional's skills and knowledge in order to match them with the suitable opportunities.


Why should you take this Online IOT Certification?

The online IOT certification from Loopskill will assist you in becoming a certified Professional. You can take this exam and by scoring 70% you will become an internationally certified IOT Professional. This certification will help you in three different ways:

  • You can demonstrate your IOT certification to potential employers and can stand out of the crowd.
  • You can apply for great jobs using loopskill website or app; moreover, our partners companies will contact you directly for full-time or part-time opportunities depending on your skills & requirements.
  • Loopskill is not just a platform to get certified or to find full time jobs; here being a certified Professional you can also do freelancing for the clients around the globe. You will be approached by the clients who need your help in building some web based platform or some app based platform.

The loopskill’s online IOT certification is created to help people in exploring and achieving their full potential so they can get connected to the best opportunities around the globe.


IOT Application

1. Houses with Smart Technology

Smart homes are one of the best and most practical IoT applications because they take both convenience and home security to the next level. Though IoT can be used at several levels for smart homes, the finest is the one that combines intelligent utility systems and entertainment. Your electricity meter with an IoT device that gives you insights into your daily water usage, your set-top box that allows you to record shows from a distance, Automatic Illumination Systems, Advanced Locking Systems, and Connected Surveillance Systems are all examples of smart homes.

2. City of the Future

Smart cities are expected to be made up of not just internet connection for people in a city, but also access for the city's devices. And we can happily report that we're on our way to making this idea a reality. Efforts are being made to integrate linked technology into infrastructural requirements as well as certain critical concerns such as traffic management, waste management, water distribution, and electricity management, among others.

3. Autonomous Vehicles

There has been a lot of talk about self-driving automobiles. Google experimented with it, as did Tesla, and Uber even developed a self-driving car that was ultimately shelved. Because we're dealing with human lives on the roadways, we need to make sure that the technology has all it needs to improve passenger and road safety.

4. Internet of Things (IoT) Retail Stores

You should see the video of Amazon Go — the eCommerce giant's concept store – right away if you haven't already. Perhaps the best application of technology for bridging the gap between an online store and a physical store is this. By deducting money from your Amazon wallet, the retail outlet allows you to go cashless. When you select items from the shelves, it also adds them to your cart in real time.

5. Agriculture

One of the industries that will benefit the most from the Internet of Things is agriculture. With so many advancements being made in agricultural gear, the future looks bright. Drip irrigation, crop patterns, water distribution, drones for farm surveillance, and other tools are being developed. These will enable farmers to produce a higher-yielding crop and better address their concerns.

6. Wearable technology

Even now, wearables are a popular topic in the market. These gadgets are used for a variety of applications, including medical, health, and exercise. Jawbone, a wearables company, is the most well-funded of all the IoT businesses.

7. Smart Grids

A smart grid, for example, is a holistic system that employs a wide range of Information Technology resources to enable current and new gridlines to reduce electricity waste and costs. Electricity efficiency, reliability, and economics will all benefit from a future smart grid.

8. Internet for Industry

The Industrial Internet of Things is made up of interconnected sensors, instruments, and other devices that are linked to industrial computer applications such as production, energy management, and so on. While the industrial internet is currently unpopular in comparison to IoT wearables and other uses, market research firms such as Gartner, Cisco, and others feel it has the greatest overall potential.

9. Telemedicine

Telehealth, often known as telemedicine, is still in its infancy. Nonetheless, it has a bright future ahead of it. IoT Telemedicine includes digital medical imaging communication, remote medical diagnosis and evaluations, video consultations with specialists, and so on.

10. Intelligent Supply

Chain Management Supply-chains have been around for a while. Solutions for tracking things while they're on the move are an excellent example. They are certain to stay in the market for a long time, thanks to IoT technology.


Important Topics to Learn & Master in IOT

Business Overview of Why IoT is so important

  • Case Studies from Nest, CISCO and top industries
  • IoT adaptation rate in North American & and how they are aligning their future business model and operation around IoT
  • Broad Scale Application Area
  • Smart house and smart city
  • Industrial Internet
  • Smart Cars
  • Wearables
  • Home healthcare
  • Business Rule generation for IoT
  • 3 layered architecture of Big Data –Physical (Sensors), Communication and Data Intelligence

Introduction of IoT: All about Sensors

  • Basic function and architecture of a sensor –Sensor body, sensor mechanism, sensor calibration, sensor maintenance, cost and pricing structure, legacy and modern sensor network- All basics about the sensors
  • Development of sensor electronics- IoT vs legacy and open source vs traditional PCB design style
  • Development of Sensor communication protocols –history to modern days. Legacy protocols like Modbus, relay, HART to modern day Zigbee, Zwave, X10,Bluetooth, ANT etc..
  • Business driver for sensor deployment- FDA/EPA regulation, Fraud/tempering detection, supervision, Quality control and process management
  • Different Kind of Calibration Techniques-manual, automation, infield, primary and secondary calibration –their implication in IoT
  • Powering options for sensors-Battery, solar, Witricity. Mobile and PoE

Introduction to Sensor Network and Wireless protocol

  • What is a sensor network? What is Ad-hoc network ?
  • Wireless vs. Wireline network
  • WiFi- 802.11 families: N to S- application of each standards and common vendors.
  • Zigbee and Zwave-advantage of low power mesh networking. Long distance Zigbee. Introduction to different Zigbee chips:
  • Bluetooth/BLE: Low power vs high power, speed of detection, class ofBLE. Introduction of Bluetooth vendors & their review :
  • Creating network with Wireless protocols such as Piconet by BLE
  • Protocol stacks and packet structure for BLE and Zigbee
  • Other long distance RF communication link
  • LOS vs NLOS links
  • Sensor network packet architecture
  • Capacity and throughput calculation
  • Application issues in wireless protocols- power consumption, reliability, PER, QoS, LOS

Review of Electronics Platform, production and cost projection

  • PCB vs FPGA vs ASIC design-how to take decision
  • Prototyping electronics vs Production electronics
  • QA certificate for IoT- CE/CSA/UL/IEC/RoHS/IP65: What are those and
  • Basic introduction of multi-layer PCB design and its workflow when needed?
  • Electronics reliability-basic concept of FIT and early mortality rate
  • Environmental and reliability testing-basic concepts
  • Basic Open source platforms: Adruino, Rasberry Pi, Beaglebone, RedBack, Diamond Back

Conceiving a new IoT product- Product requirement document for IoT

  • State of the present art and review of existing technology in the marketplace
  • Suggestion for new features and technologies based on market analysis and patent issues
  • Detailed technical specs for new products- System, software, hardware, mechanical, installation etc.
  • Packaging and documentation requirements
  • Servicing and customer support requirements
  • High level design (HLD) for understanding of product concept
  • Release plan for phase wise introduction of the new features
  • Skill set for the development team and proposed project plan -cost & duration
  • Target manufacturing price

Introduction to Mobile app platform & Middleware for IoT

  • Protocol stack of Mobile app for IoT
  • Fundamentals of WAP ( Wireless application protocols)
  • Mobile to server integration –what are the factors to look out
  • What are the intelligent layer that can be introduced at Mobile app level ?
  • iBeacon in IoS
  • Global vs Local ID-GUID concept for secured IoT network
  • IoT-Middleware case study-1 Axeda
  • IoT Middleware case study-2 Xively

Machine learning for intelligent IoT

  • Introduction to Machine learning
  • Learning classification techniques
  • Bayesian Prediction-preparing training file
  • Support Vector Machine
  • Image and video analytic for IoT
  • Fraud and alert analytic through IoT
  • Bio –metric ID integration with IoT
  • Real Time Analytic/Stream Analytic
  • Scalability issues of IoT and machine learning
  • What are the architectural implementation of Machine learning for IoT

Analytic Engine for IoT

  • Insight analytic
  • Visualization analytic
  • Structured predictive analytic
  • Unstructured predictive analytic
  • Recommendation Engine
  • Pattern detection
  • Rule/Scenario discovery –failure, fraud, optimization
  • Root cause discovery

Iaas/Paas/Saas-IoT data, platform and software as a service revenue model

  • Iaas : Information as a service-evolving models
  • Mechanism of security breach in IOT layer for Iaas
  • Middleware for Iaas business implementation in healthcare, homeautomation and farming
  • Iaas case study for vehicular information for Auto-insurance and Agriculture
  • Paas: Platform as a service in IoT. Case studies of some of the IoT middleware
  • Saas : Software/System as service for IoT business models
  • European legislation for security in IoT platform
  • Firewalling and IPS
  • Updates and patches

Database & Platform implementation for IoT : Cloud based IoT platforms

  • SQL vs NoSQL-Which one is good for your IoT application
  • Open sourced vs. Licensed Database
  • Available M2M cloud platform
  • Basic functionality of IoT cloud platform
  • Real Time Analytic
  • Batch Analytic
  • Data storage
  • Data filtering
  • Rule engine
  • Process mapping
  • Caching of Data for IoT rule implementation
  • Lossless data compression /Data encoding : Huffman and Progressive filtering
  • Xively/ Omeg/Ayla/Libellium/CISCO M2M platform /AT &T M2M platform/ Google M2M platform

Big Data for IoT

  • 4V- Volume, velocity, variety and veracity of Big Data
  • Why Big Data is important in IoT
  • Big Data vs legacy data in IoT
  • Fundamental of Map reduced system (MR)
  • Hadoop and HDFS
  • Kafka for data messaging and brokerage
  • Storm/Bolt/Spout-fundamentals of real time analytic system
  • Storage technique for image, Geospatial and video data
  • Distributed database like Cassandra and HDFS
  • Parallel computing basics for IoT


Future of IOT

By 2026, the IoT market is expected to reach $1111.3 billion. The Internet of Things is exploding. According to Cision, PR Newswire, the IoT market is growing at an incredible 24.7 percent compound annual growth rate, and major corporations such as Google, Cisco, Microsoft, Dell, Apple, and Facebook, among others, are significantly investing in IoT applications.

In 2019, there were 26.66 billion active IoT devices. Every year, smart gadgets become more popular as a means of connecting to the Internet of Things, with over 26 billion active devices in 2019. The average number of connected devices per person is predicted to reach 6.58 by 2020.

By 2020, the market for ‘Smart City' solutions will be worth more than $400 billion. ‘Smart Cities,' defined as cities that employ IoT sensors to collect data and provide insights for better management, are currently a big industry, but it's just getting bigger.

By the end of 2021, 94 percent of organizations will be using IoT. By the end of next year, almost all organizations will be using some sort of IoT, according to a new analysis from Microsoft. Manufacturing, retail, transportation, government, and healthcare are among the main IoT industries that continue to integrate new IoT applications and solutions into their daily operations.

In 2023, $1.1 trillion will be spent on IoT. According to Statista, anticipated global IoT spending is worth over 1.1 trillion dollars and is continuously increasing. While this is a significant sum, IoT has also shown its ability to save us money, with autonomous cars saving over 5.6 trillion dollars globally and IoT in agricultural technologies predicted to slash food prices in half by 2050.


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